Title :
A neural network for Euclidean distance minimization
Author :
Moopenn, A. ; Thakoor, A.P. ; Duong, T.
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Abstract :
An electronic neural network for the Euclidean distance minimization problem, implemented in VLSI-based hardware, is described. The convergence properties of the neural-network hardware are investigated and compared with computer simulation results. The neural network´s ability to find the ´best´ or a ´good´ solution is quickly demonstrated. The effect of noise on the circuit dynamics and the convergence behavior of the neural network hardware is also examined.<>
Keywords :
VLSI; convergence; integrated circuit technology; minimisation; neural nets; noise; Euclidean distance minimization; VLSI-based hardware; circuit dynamics; convergence properties; electronic neural network; noise; Integrated circuit fabrication; Minimization methods; Neural networks; Noise; Very-large-scale integration;
Conference_Titel :
Neural Networks, 1988., IEEE International Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/ICNN.1988.23947
